Research on Performance Evaluation and Influencing Factors of County-Level Highway Maintenance Projects

DOI

10.2991/978-94-6239-652-4_5How to use a DOI?

Keywords

County-level highways; Performance evaluation; Fuzzy integrated evaluation; AHP-Entropy weighting method; Influencing factors

Abstract

To address the issues of ambiguous performance evaluation and difficulties in identifying key influencing factors within county-level highway maintenance projects, this study constructs a performance evaluation indicator system encompassing five dimensions: technical, economic, social, environmental, and management. The AHP-entropy weight combination method was employed to determine indicator weights. Combined with the fuzzy comprehensive evaluation method, the performance of Q County’s 2023 maintenance projects was quantitatively assessed, and key influencing factors were identified using multiple linear regression. Findings indicate that technical and social performance constitute core dimensions within the evaluation framework, with pavement condition index and public satisfaction emerging as key indicators. The county’s maintenance projects achieved an overall performance rating of ‘Good’, though pavement condition and emergency response times remain significant shortcomings. Fiscal investment and technology adoption rate exerted a markedly positive influence on performance, whereas average daily traffic volume demonstrated a significant negative impact. The integrated ‘indicator-evaluation-factor’ analytical framework proposed herein provides theoretical underpinnings and practical guidance for scientific decision-making and refined management in county-level highway maintenance.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Xueqian Niu
PY  - 2026
DA  - 2026/04/19
TI  - Research on Performance Evaluation and Influencing Factors of County-Level Highway Maintenance Projects
BT  - Proceedings of the  2026 5th International Conference on Engineering Management and Information Science (EMIS 2026)
PB  - Atlantis Press
SP  - 34
EP  - 42
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6239-652-4_5
DO  - 10.2991/978-94-6239-652-4_5
ID  - Niu2026
ER  -